✨✨Latest Advances on Multimodal Large Language Models

[CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"

A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.

A collection of visual instruction tuning datasets.

🦩 Visual Instruction Tuning with Polite Flamingo - training multi-modal LLMs to be both clever and polite! (AAAI-24 Oral)

[EMNLP 2024] A Video Chat Agent with Temporal Prior

Vistral-V: Visual Instruction Tuning for Vistral - Vietnamese Large Vision-Language Model.

[ECCV2024] Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models

Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey

Gamified Adversarial Prompting (GAP): Crowdsourcing AI-weakness-targeting data through gamification. Boost model performance with community-driven, strategic data collection

Mistral assisted visual instruction data generation by following LLaVA